2017
DOI: 10.3390/en10091317
|View full text |Cite
|
Sign up to set email alerts
|

Economic Valuation of Low-Load Operation with Auxiliary Firing of Coal-Fired Units

Abstract: It is often claimed that coal-fired units are highly inflexible to accommodate variable renewable energy. However, a recently published report illustrates that making existing coal-fired units more flexible is both technically and economically feasible. Auxiliary firing is an effective and promising measure for coal-fired units to reduce their minimum loads and thus augment their flexibility. To implement the economic valuation of low-load operation with auxiliary firing (LLOAF) of coal-fired units, we improve… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…Equipment health can be affected by various factors such as task intensity [3] , operation mode [4] , operating conditions [5] and equipment aging [6] , and it is multi-factor coupling. Generally, equipment faults show the features with spatiotemporal indeterminacy, traditional methods are difficult to effectively monitor the health of large complex equipment in real time to facilitate maintenance work.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Equipment health can be affected by various factors such as task intensity [3] , operation mode [4] , operating conditions [5] and equipment aging [6] , and it is multi-factor coupling. Generally, equipment faults show the features with spatiotemporal indeterminacy, traditional methods are difficult to effectively monitor the health of large complex equipment in real time to facilitate maintenance work.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many scholars have conducted systematic research on equipment health monitoring, involving manufacturing equipment [4] , rail transit equipment [6] and other fields, and having used deep learning, integrated learning to design a health status assessment system. Wang Xiao et al [8] built an experimental platform for equipment health monitoring to improve monitoring accuracy and real-time performance.…”
Section: Introductionmentioning
confidence: 99%
“…However, due to its intrinsic intermittent and uncertain nature [3], wind power can only be predictable to such a limited extent such that large wind power integration aggravates the operational risks of power systems [4,5]. Day-ahead unit commitment (UC) is one of the crucial short-term operation problems and can manage many kinds of operational risks, including the risks imposed by wind power variability, by scheduling flexible resources.…”
Section: Introductionmentioning
confidence: 99%